职称：副教授/博士(后)/硕士研究生导师
个人简介：
主要研究领域：机器学习、医学图像处理、兵马俑数字化虚拟修复
招生专业：软件工程（学硕&专硕）
本硕博就读于西安电子科技大学，2020年7月破格晋升为副教授。近年来一直致力于机器学习、医学图像处理、光学分子影像分析以及兵马俑数字化虚拟修复等研究工作。主持国家自然科学基金青年基金、中国博士后科学基金面上项目、陕西省自然科学基础研究计划青年项目、陕西省教育厅专项基金等多个项目，入选西北大学青年学术英才项目以及陕西省高校科协人才托举工程。在国际知名学术期刊或会议上发表SCI/EI论文近30篇。
欢迎感兴趣的同学加入我的科研团队！
个人主页（推荐，不定时更新）：https://caoxin918.github.io
联系方式：xin_cao@163.com


部分科研成果：
期刊/会议论文：
1. B. Wang, P. Jiao, H. Yi, X. Cao, F. Zhao, Y. Hou, and X. He, "The image reconstruction for fluorescence molecular tomography via a non-uniform mesh," Optical Review 27, 31-38 (2020).
2. F. Zhao, B. Wu, F. Chen, X. Cao, H. Yi, Y. Hou, X. He, and J. Liang, "An automatic multi-class coronary atherosclerosis plaque detection and classification framework," Medical & Biological Engineering & Computing 57, 245-257 (2019).
3. X. Wei, D. Lu, X. Cao, L. Su, L. Wang, H. Guo, Y. Hou, and X. He, "A fuzzy artificial neural network-based method for Cerenkov luminescence tomography," Aip Advances 9 (2019).
4. L. Wang, H. Cao, X. Cao, S. Ren, K. Li, Y. Zhan, X. Chen, and X. He, "Adaptively Hybrid 3rd Simplified Spherical Harmonics With Diffusion Equation-Based Multispectral Cerenkov Luminescence Tomography," Ieee Access 7, 160779-160785 (2019).
5. D. Lu, X. Wei, X. Cao, X. He, and Y. Hou, "Fast Reconstruction Method for Fluorescence Molecular Tomography Based on Autoencoder," Acta Optica Sinica 39 (2019).
6. C. Fan, F. Li, X. Cao, B. Qian, and P. Song, "A parallel arithmetic for hardware realization of digital filters," Microelectronics Journal 83, 131-136 (2019).
7. X. Cao, X. Wei, F. Yan, L. Wang, L. Su, Y. Hou, G. Geng, and X. He, "A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography," Ieee Access 7, 85178-85189 (2019).
8. F. Zhao, F. Sun, Y. Hou, Y. Chen, D. Chen, X. Cao, H. Yi, B. Wang, X. He, and J. Liang, "A monocentric centerline extraction method for ring-like blood vessels," Medical & Biological Engineering & Computing 56, 695-707 (2018).
9. F. Zhao, Y. Chen, F. Chen, X. He, X. Cao, Y. Hou, H. Yi, X. He, and J. Liang, "Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network," Ieee Access 6, 67841-67852 (2018).
10. L. Wang, X. Cao, Q. Ren, X. Chen, and X. He, "Hybrid model based unified scheme for endoscopic Cerenkov and radio-luminescence tomography: Simulation demonstration," Journal of Applied Physics 123 (2018).
11. L. Wang, X. Cao, X. Cao, F. Kang, Y. Zhan, X. He, J. Wang, and X. Chen, "Feasibility study of radioluminescence film imaging: an optical way to detect medical radionuclides," Optoelectronics and Advanced Materials-Rapid Communications 12, 542-546 (2018).
12. L. Su, and X. Cao, "Fuzzy autoencoder for multiple change detection in remote sensing images," Journal of Applied Remote Sensing 12 (2018).
13. Y. Hou, W. Zhang, X. Wang, X. He, and X. Cao, "Light source reconstruction method in fluorescence molecular tomography based on Laplacian manifold regularization and sparse reconstruction by separable approximation," Optics and Precision Engineering 26, 2592-2604 (2018).
14. X. He, X. Wei, X. Cao, and Y. Hou, "A Novel Single-View Cerenkov Luminescence TomographyMethod Based on FuzzyC-Means Clustering," Acta Optica Sinica 38, 0717-0717 (2018).
15. X. He, Y. Sun, X. Wei, D. Lu, X. Cao, and Y. Hou, "DenoisingAlgorithm of Cerenkov Luminescence Images Based on Spatial Information Improved Clustering," Acta Optica Sinica 38, 1017-1017 (2018).
16. X. Cao, Y. Sun, F. Kang, L. Wang, H. Yi, F. Zhao, L. Su, and X. He, "A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion," Journal of Innovative Optical Health Sciences 11 (2018).
17. Y. Zhan, X. Cao, X. Cao, Y. Li, J. Tian, J. Liang, and X. Chen, "Silica Cross-Linked Micellar Core-Shell Nanoparticles Encapsulating IR-780 with Strong Bright and Good Biocompatibility for Optical Imaging In Vivo," Journal of Biomedical Nanotechnology 13, 144-154 (2017).
18. Y. Hou, H. Xue, X. Cao, H. Zhang, X. Qu, and X. He, "Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning," Acta Optica Sinica 37, 1217-1217 (2017).
19. X. Cao, Y. Zhan, X. Cao, J. Liang, and X. Chen, "Harnessing the Power of Cerenkov Luminescence Imaging for Gastroenterology: Cerenkov Luminescence Endoscopy," Current Medical Imaging Reviews 13, 50-57 (2017).
20. Y. Zhan, X. Cao, X. Cao, F. Kang, J. Wang, J. Linag, Z. Li, and X. Chen, "Simultaneous multimodali molecular imaging with neodymium-doped Y3Al5O12 nanoparticles," Optoelectronics and Advanced Materials-Rapid Communications 10, 685-688 (2016).
21. H. Hu, X. Cao, F. Kang, M. Wang, Y. Lin, M. Liu, S. Li, L. Yao, J. Liang, J. Liang, Y. Nie, X. Chen, J. Wang, and K. Wu, "Feasibility study of novel endoscopic Cerenkov luminescence imaging system in detecting and quantifying gastrointestinal disease: first human results," European Radiology 25, 1814-1822 (2015).
22. X. Cao, X. Chen, F. Kang, Y. Zhan, X. Cao, J. Wang, J. Liang, and J. Tian, "Intensity Enhanced Cerenkov Luminescence Imaging Using Terbium-Doped Gd2O2S Microparticles," Acs Applied Materials & Interfaces 7, 11775-11782 (2015).
23. X. Cao, X. Chen, F. Kang, X. Cao, Y. Zhan, J. Wang, K. Wu, and J. Liang, "Sensitivity improvement of Cerenkov luminescence endoscope with terbium doped Gd2O2S nanoparticles," Applied Physics Letters 106 (2015).
24. X. Cao, X. Chen, F. Kang, X. Cao, J. Wang, K. Wu, and J. Liang, "Improving sensitivity of endoscopy-based Cerenkov luminescence imaging system using Gd2O2S:Tb," Journal of Nuclear Medicine 56 (2015).
25. X. Chen, D. Yang, X. Cao, and J. Liang, "Specific modeling of light transport in biological tissues for Cerenkov luminescence tomography," Journal of Nuclear Medicine 55 (2014).
26. X. Cao, Y. Lin, F. Kang, X. Chen, J. Wang, K. Wu, and J. Liang, "Sensitivity evaluation of endoscopic Cerenkov luminescence imaging system," Journal of Nuclear Medicine 55 (2014).
27. X. Cao, X. Chen, F. Kang, Y. Lin, M. Liu, H. Hu, Y. Nie, K. Wu, J. Wang, J. Liang, and J. Tian, "Performance evaluation of endoscopic Cerenkov luminescence imaging system: in vitro and pseudotumor studies," Biomedical Optics Express 5, 3660-3670 (2014).
28. X. Chen, J. Liang, X. Cao, D. Yang, D. Chen, J. Ripoll, and J. Tian, "Feasibility study of endoscopic x-ray luminescence computed tomography: Simulation demonstration and phantom application," Journal of Applied Physics 114 (2013).
部分申请/授权中国发明专利：
1. 赵凤军; 赵嘉铭; 陈一兵; 曹欣; 易黄建; 贺小伟; 彭进业; 侯榆青。结合卷积神经网络与循环神经网络的血管中心线追踪方法，中国发明专利，申请号： 2.X
2. 宋小磊; 焦璞; 易黄建; 梁嘉翔; 赵凤军; 曹欣; 贺小伟; 侯榆青。一种荧光分子断层成像可行域优化方法，中国发明专利，申请号： 1.4
3. 赵凤军、胡昊文、侯榆青、吴斌、曹欣、易黄建、王宾、贺小伟，基于关键点检测和深度学习的软组织器官图像分割方法，中国发明专利，申请号：5.9
4. 易黄建，焦璞，任睿思，赵凤军，曹欣，贺小伟，侯榆青，一种基于三支决策的荧光目标重建结果后处理方法，中国发明专利，申请号：4.X
5. 贺小伟; 胡跃林; 易黄建; 侯榆青; 王宾; 赵凤军; 曹欣。一种荧光分子断层成像目标可行域选取方法，中国发明专利，申请号： 6.8
6. 赵凤军，吴斌，贺小伟，侯榆青，易黄建，曹欣，王宾，一种基于高维空间变换的数据扩增方法、机器识别系统，中国发明专利，申请号：2.3
7. 侯榆青，孙飞飞，赵凤军，贺小伟，陈一兵，高培，王宾，易黄建，曹欣，基于中心线提取的血管图像分割方法、核磁共振成像系统，中国发明专利，申请号：8.X
8. 侯榆青; 薛花; 贺小伟; 曹欣; 孙怡; 卫潇。单视图切伦科夫发光断层成像重建方法，中国发明专利，申请号：1.5
9. 曹欣; 孙怡; 贺小伟; 卫潇; 薛花; 侯榆青; 易黄建; 赵凤军。一种基于放射荧光引导的内窥式切伦科夫荧光成像系统，中国发明专利，申请号： 7.4
10. 侯榆青，高培，赵凤军，贺小伟，王宾，易黄建，曹欣，基于随机森林与统计模型的小鼠CT图像肾脏分割方法，中国发明专利，申请号：1.X
11. 金明阳; 侯榆青; 易黄建; 魏红娜; 王宾; 赵凤军; 曹欣; 贺小伟。基于随机变量交替方向乘子法荧光分子断层成像重建方法，中国发明专利，申请号： 9.6
12. 曹欣; 康飞; 贺小伟; 薛花; 孙怡; 卫潇; 易黄建; 赵凤军; 汪静。一种基于放射荧光材料涂板的医用放射性核素成像系统，中国发明专利，申请号： 1.1
13. 赵凤军、陈雁蓉、贺小伟、贺小慧、高培、何雪磊、孙飞飞、曹欣、易黄建、侯榆青，基于统计形状模型的医学图像Graph Cut分割方法，中国发明专利，专利号：2.X
14. 陈雪利; 林叶楠; 曹欣; 梁继民; 屈晓超; 曹旭; 朱守平; 陈多芳; 田捷。激发荧光双目内窥系统，中国发明专利，专利号：9.4
15. 陈雪利; 张岐坦; 梁继民; 杨德富; 曹欣; 陈多芳; 朱守平; 屈晓超; 田捷。一种生物发光断层成像重建方法，中国发明专利，专利号：7.1
16. 陈雪利; 曹欣; 梁继民; 林叶楠; 杨德富; 朱守平; 屈晓超; 陈多芳; 田捷。一种医用经内窥镜切伦科夫荧光成像系统，中国发明专利，专利号：8.7
17. 陈雪利; 曹欣; 梁继民; 林叶楠; 杨德富; 屈晓超; 陈多芳; 田捷。深度与强度可调式的探头激光共聚焦显微内窥镜系统，中国发明专利，专利号：3.1


主持科研项目：
1. 国家自然科学基金青年项目，**
2. 中国博士后科学基金资助项目，2018M643719
3. 陕西省自然科学基础研究计划，2017JQ6006
4. 陕西省教育厅专项科学研究计划，18JK0767
5. 陕西省高校科协青年人才托举计划，**
6. 西北大学青年学术英才支撑计划

教学情况：
承担本科生《JAVA程序设计》、《数据库基础》、《ERP与SAP ERP开发》、《多媒体基础》课程的讲授和实验指导工作

其它信息：
中国计算机学会CCF会员、CCF会员代表、中国图象图形学学会会员、中国生物医学工程学会会员
担任IEEE Transactions on Medical Imaging、IEEE Access、Optics Express等多个国内外期刊或会议审稿人
更多最新信息详见个人主页：https://caoxin918.github.io